结合反馈的新型LWD双成像仪提高了OBM成像质量:来自阿布扎比海上碳酸盐岩的一些经验

Nashat Abbas, Jamal Al Noukhatha, Khulood Al Nayadi, C. Shrivastava, Tianhua Zhang, Shiduo Yang, S. Shasmal, J. Maalouf
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引用次数: 0

摘要

随钻测井(LWD)技术的最新发展使油基泥浆的高分辨率井眼成像成为可能,这曾经是一个长期存在的挑战。根据阿布扎比油田最近部署的随钻双成像仪的反馈,开发了增强图像解释和保持特征完整性的新应用程序,其中恶劣的钻井条件影响了高分辨率超声图像质量。新型双成像仪有4个超声波传感器和2个电磁传感器(用于电阻率成像),安装在钻井底部钻具组合(BHA)的15英尺短节上。除了由四个工作频率测量组成的视电阻率图像外,它还提供两个中心频率的超声振幅和走时图像。利用这种新型成像仪钻了一段长约8000英尺的水平段,穿过了具有挑战性的非均质碳酸盐岩,并对数据进行了地质解释分析。在一定时间间隔数据质量改善反馈的基础上,首先利用模拟数据在时域分析冲击振动对高分辨率(0.2”)超声图像的影响,独立了解诱发因素的行为。然后,开发和部署新的算法来保持数据的特征完整性。对现场数据的验证为恶劣钻井条件下的结果提供了急需的验证。电阻率图像提供了所有的层理和纹理信息(岩洞、柱面岩),分辨率约为0.8英寸。高分辨率(0.2”)超声图像通过对孔洞指数的定量解释,提供了次生孔隙度孔洞分布的具体信息。此外,实时数据反馈被整合到后续处理和图像处理应用程序的开发中,该应用程序有效地修复了与钻井引起的事件和粘滑相关的深度滤波。数据的重新处理提供了用于高分辨率地质解释的高质量图像。将有信心的特征识别输入到解释应用中,迄今为止只能在水基泥浆中进行随钻解释。该研究的结果与阿布扎比的现场数据反馈相结合,有助于在恶劣的钻井条件下更好地进行地质解释,最大限度地减少了对电子电缆成像的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New LWD Dual Imager with Incorporated Feedback Improves Image Quality in OBM: Some Learnings form Abu Dhabi Offshore Carbonates
Recent developments in Logging-While-Drilling (LWD) technology have enabled high-resolution borehole imaging in oil-base mud that used to be a long-standing challenge. New applications to enhance image interpretation and maintain feature-integrity were developed with feedback from Abu Dhabi field examples of recently deployed LWD dual imager where hostile drilling conditions impacted the high-resolution ultrasonic image quality. The new dual imager has 4 ultrasonic sensors and 2 electromagnetic sensors (for resistivity image) mounted on a 15-ft sub in the drilling bottom-hole assembly (BHA). It provides ultrasonic amplitude and travel-time images at two central frequencies in addition to apparent resistivity images composed of four operating frequency measurements. A long lateral of around 8000-ft was drilled with this new imager through challenging heterogeneous carbonates and data was analyzed for geological interpretation. Based on the feedback for data quality improvement in certain intervals, the impact of shock & vibration on high-resolution (0.2") ultrasonic images was analyzed in time domain with simulated data first to understand the behavior of causative factors independently. Afterwards, the new algorithms were developed and deployed to maintain feature integrity of the data. The validation on field-data provided much-needed validation for the results in hostile drilling conditions. Resistivity images provided all the bedding and textural information (vugs, stylolites) with high confidence images at around 0.8" resolution. Higher resolution (0.2") ultrasonic images provided concrete information about vugs distribution for secondary porosity with quantitative interpretation on vug-indices. In addition, feedback provided from real time data was incorporated in subsequent processing and development of an image processing app that effectively fixes the depth-filtering related to drilling-induced events and stick-slip. Re-processing of the data provided high quality images that were used for high-resolution geological interpretation. Confident feature recognition was input into interpretation application hitherto available only in water-base mud while drilling. Results of this study with feedback incorporated to field-data from Abu Dhabi helped better the geological interpretation in hostile drilling condition as well, minimizing the need for e-line imaging.
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